Evanescent coupling of nonlinear integrated cavities for all-optical reservoir computing

被引:4
|
作者
Boikov, I. K. [1 ]
Brunner, D. [2 ,3 ]
De Rossi, A. [1 ]
机构
[1] Thales Res & Technol, F-91767 Palaiseau, France
[2] CNRS, FEMTO ST Inst, Opt Dept, F-25030 Besancon, France
[3] Univ Bourgogne Franche Comte, F-25030 Besancon, France
来源
NEW JOURNAL OF PHYSICS | 2023年 / 25卷 / 09期
基金
欧盟地平线“2020”;
关键词
reservoir computing; nanophotonics; evanescent coupling; PHOTONIC CRYSTAL CAVITY; SILICON-NITRIDE; RESONATORS; OSCILLATION; NANOCAVITY; GAAS;
D O I
10.1088/1367-2630/acfba6
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We consider theoretically a network of evanescently coupled optical microcavities to implement a space-multiplexed optical neural network in an integrated nanophotonic circuit. Nonlinear photonic network integrations based on evanescent coupling ensure a highly dense integration, reducing the chip footprint by several orders of magnitude compared to commonly used designs based on long waveguide connections while allowing the processing of optical signals with bandwidth in a practical range. Different nonlinear effects inherent to such microcavities are studied for realizing an all-optical autonomous computing substrate based on the reservoir computing concept, and their contribution to computing performance is demonstrated. We provide an in-depth analysis of the impact of basic microcavity parameters on the computational metrics of the system, namely, the dimensionality and the consistency. Importantly, we find that differences between frequencies and bandwidths of supermodes formed by the evanescent coupling are the determining factor of the reservoir's dimensionality and scalability. The network's dimensionality can be improved with frequency-shifting nonlinear effects such as the Kerr effect, while two-photon absorption has the opposite effect. Finally, we demonstrate in simulation that the proposed reservoir is capable of solving the Mackey-Glass prediction and the optical signal recovery tasks at gigahertz timescale.
引用
收藏
页数:19
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